Splunk Engineer

Automation & Scripting incident management SPL Development cloud platforms data modeling Python Observability & Monitoring Data Management, * Design and maintain Splunk dashboards (Classic & Dashboard Studio) for operations and business reporting

• Develop and optimize SPL queries (rex, spath, stats, timechart, etc.) for performance and scalability
• Manage data onboarding using Universal Forwarders, Heavy Forwarders, HEC, and syslog integrations
• Own index strategy, retention policies, sourcetypes, field extractions, and CIM alignment
• Configure and tune alerts with actionable thresholds, suppression, and routing
• Build dynamic dashboards with drilldowns and filters for self-service troubleshooting
• Support onboarding of new applications/brands and ensure consistent monitoring coverage
• Collaborate with app, infra, and security teams to resolve ingestion and data issues
• Implement RBAC and knowledge object permissions for access control
• Create documentation, runbooks, and support users with training

We are looking for a Splunk Engineer with 5-8 years of experience to build and scale monitoring, alerting, and observability solutions. The role focuses on Splunk dashboarding, data onboarding, and alert optimization to improve incident response and operational visibility., * Strong experience with Splunk (Enterprise/Cloud)

• Expertise in SPL query development and optimization
• Experience with log ingestion pipelines and integrations
• Understanding of monitoring, alerting, and incident management
• Strong troubleshooting and analytical skills

Preferred:

• Experience in SRE / NOC / Observability environments
• Exposure to APM / metrics tools (Splunk Observability, New Relic, etc.)
• Knowledge of Azure/AWS and basic scripting (Python/Shell)

The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.